An Improved LMI-based Approach for the Design of Power System Damping Controllers

Bernardo, Raul Torres; Oliveira, Ricardo C. L. F.; Dotta, Daniel

doi:10.1016/j.ifacol.2018.11.120

Cited by 1 publication

(1 citation statement)

References 22 publications

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“…Although it is successfully enhanced the damping capability, single index only improves certain property in eigenvalues. From eigenvalues point of view, usage of minimum damping ratio, ξ min as objective function can shift eigenvalue region towards the real axis of phase plan by the decreasing value of imaginary part of the eigenvalue ω [18,19]. Meanwhile, maximum damping factor, σ max shows better result compared to ξ min in capability of pushing the set of eigenvalues further left of the imaginary (jω) axis of the phase plan [20,21].…”

Section: Introductionmentioning

confidence: 99%

Oscillation stability enhancement using multi-objective swarm based technique for smib system

Kamari¹,

Musirin

Zamani

et al. 2019

IJEECS

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This paper discussed the impact of multi-objective function in a swarm-based optimization approach for modulate proportional-integral-derivative (PID) controller parameters of a static var compensator (SVC) in a single machine infinite bus (SMIB) system. SVC is a Flexible Alternating Current Transmission Systems (FACTS) devices which often used to increase the damping of the synchronous generator. In this paper, three parameters of PID controller: proportional gain, KP, interval gain, KI and derivative gain, KD are tuned with particle swarm optimization (PSO) approach. One multi-objective function (MO) that derived from the consolidation of maximum damping factor, σmax and minimum damping ratio, ξmin is proposed to elevate the damping capability of the systems. Validation with respect to speed response and eigenvalues verification proved that the proposed MO is more competent than single objective function.

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